scholarly journals Numbers and Mortality Risk of Hypertensive Patients with or without Elevated Body Mass Index in China

2021 ◽  
Vol 19 (1) ◽  
pp. 116
Author(s):  
Xiaoqin Luo ◽  
Hexiang Yang ◽  
Zhangya He ◽  
Shanshan Wang ◽  
Tao Chen ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Mortality Risk ◽  
Proportional Hazards ◽  
Premature Death ◽  
Cox Proportional Hazards ◽  
Nutrition Survey ◽  
Hypertensive Patients ◽  
Elevated Body Mass Index ◽  
Number Of Patients

Objective: Our study aimed to estimate the number of hypertension patients with or without elevated body mass index (BMI), and assess their mortality risk. Methods: We used data from the China Health and Retirement Longitudinal Study (CHARLS) to estimate the population of hypertensive patients with or without elevated BMI. The mortality risk of hypertension with elevated BMI was estimated by using the China Health and Nutrition Survey (CHNS) data. Cox proportional hazards models were used to estimate hazard ratios and 95% confidence intervals (CI). Results: In total, 23.02% of adults, representing 117.74 (95% CI: 108.79, 126.69) million, had both high BMI and hypertension. Among them, 38.53 (95% CI: 35.50, 41.56) million were recommended to initiate antihypertensive medication but did not take it. Moreover, there were 38.40 (95% CI: 35.50, 41.56) million hypertensive patients with elevated BMI who did not achieve the goal of blood pressure control. All-cause mortality and premature death mortality, especially for the elderly, were significantly and positively associated with the severity of the hypertensive condition (p for trend = 0.001). Conclusion: In China, there were a huge number of patients with hypertension and elevated BMI, and the treatment and control rates for them were low. The more severe the degree of hypertension, the higher risk of all-cause death and premature death in these patients.

scholarly journals Childhood body mass index and multiple sclerosis risk: a long-term cohort study

2013 ◽  
Vol 19 (10) ◽  
pp. 1323-1329 ◽  
Author(s):  
Kassandra L Munger ◽  
Joan Bentzen ◽  
Bjarne Laursen ◽  
Egon Stenager ◽  
Nils Koch-Henriksen ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Body Mass Index ◽  
Body Mass ◽  
School Health ◽  
Proportional Hazards ◽  
Cox Proportional Hazards ◽  
Z Score ◽  
Cox Proportional Hazards Models ◽  
Increased Risk ◽  
Unit Increase

Background: Obesity in late adolescence has been associated with an increased risk of multiple sclerosis (MS); however, it is not known if body size in childhood is associated with MS risk. Methods: Using a prospective design we examined whether body mass index (BMI) at ages 7–13 years was associated with MS risk among 302,043 individuals in the Copenhagen School Health Records Register (CSHRR). Linking the CSHRR with the Danish MS registry yielded 774 MS cases (501 girls, 273 boys). We used Cox proportional hazards models to estimate the hazard ratios (HRs) and 95% confidence intervals (CIs). Results: Among girls, at each age 7–13 years, a one-unit increase in BMI z-score was associated with an increased risk of MS (HRage 7=1.20, 95% CI: 1.10–1.30; HRage 13=1.18, 95% CI: 1.08–1.28). Girls who were ≥95th percentile for BMI had a 1.61–1.95-fold increased risk of MS as compared to girls <85th percentile. The associations were attenuated in boys. The pooled HR for a one-unit increase in BMI z-score at age 7 years was 1.17 (95% CI: 1.09–1.26) and at age 13 years was 1.15 (95% CI: 1.07–1.24). Conclusion: Having a high BMI in early life is a risk factor for MS, but the mechanisms underlying the association remain to be elucidated.

scholarly journals Body-Mass Index and Progression of Hepatitis B: A Population-Based Cohort Study in Men

2008 ◽  
Vol 26 (34) ◽  
pp. 5576-5582 ◽  
Author(s):  
Ming-Whei Yu ◽  
Wei-Liang Shih ◽  
Chih-Lin Lin ◽  
Chun-Jen Liu ◽  
Jhih-Wei Jian ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Cohort Study ◽  
Hepatitis B ◽  
Body Mass ◽  
Proportional Hazards ◽  
Cox Proportional Hazards ◽  
Excess Body Weight ◽  
Biochemical Tests ◽  
Hazard Ratios

Purpose To determine prospectively whether body-mass index (BMI) is associated with liver-related morbidity and mortality among male hepatitis B virus (HBV) carriers. Patients and Methods We performed a prospective study of 2,903 male HBV surface antigen–positive government employees who were free of cancer at enrollment between 1989 and 1992. Main outcome measures included ultrasonography, biochemical tests, incident hepatocellular carcinoma (HCC), and liver-related death. Results During mean follow-up of 14.7 years, 134 developed HCC and 92 died as a result of liver-related causes. In Cox proportional hazards models adjusting for age, number of visits, diabetes, and use of alcohol and tobacco, the hazard ratios for incident HCC were 1.48 (95% CI, 1.04 to 2.12) in overweight men (BMI between 25.0 and 29.9 kg/m2) and 1.96 (95% CI, 0.72 to 5.38) in obese men (BMI ≥ 30.0 kg/m2), compared with normal-weight men (BMI between 18.5 and 24.9 kg/m2). Liver-related mortality had adjusted hazard ratios of 1.74 (95% CI, 1.15 to 2.65) in overweight men and 1.50 (95% CI, 0.36 to 6.19) in obese men. Excess BMI was also associated with the occurrence of fatty liver and cirrhosis detected by ultrasonography, as well as elevated ALT and γ-glutamyltransferase (GGT) activity during follow-up. The association of BMI with GGT was stronger than with ALT, and elevated GGT activity and cirrhosis were the strongest predictors for incident HCC and liver-related death. Conclusion This longitudinal cohort study indicates that excess body weight is involved in the transition from healthy HBV carrier state to HCC and liver-related death among men.

Large Body Mass Index does not Predict Short-Term Survival in Peritoneal Dialysis Patients

2002 ◽  
Vol 22 (2) ◽  
pp. 191-196 ◽  
Author(s):  
Nabeel Aslam ◽  
Judith Bernardini ◽  
Linda Fried ◽  
Beth Piraino
Keyword(s):  
Body Mass Index ◽  
Peritoneal Dialysis ◽  
Body Mass ◽  
Proportional Hazards ◽  
Cox Proportional Hazards ◽  
Dialysis Patients ◽  
Term Survival ◽  
Technique Survival ◽  
Risk Of Death ◽  
Increased Risk

♦ Objective Higher than normal body mass index (BMI) is associated with an increased risk of death in the general population. We examined the effect of higher than normal BMI on patient and technique survival in peritoneal dialysis patients (PD), controlling for comorbidity, initial albumin, dialysate-to-plasma ratio of creatinine (D/PCr), and initial urea clearance (Kt/V). ♦ Design Registry database. ♦ Settings Four dialysis centers. ♦ Patients Incident PD patients. ♦ Methods All data were collected prospectively. Demographics, BMI, serum albumin, D/PCr, and comorbidity using the Charlson Comorbidity Index (CCI) were determined at the start of PD. 104 patients with a high BMI (> 27) were matched to a control group of 104 patients with normal BMI (20 – 27) for age, gender, presence of diabetes, and CCI. Patient and technique survival were compared using Cox proportional hazards model. ♦ Main Outcome Measures Patient and technique survival. ♦ Results The groups were of similar age (56.1 vs 56.7 years), sex (60% males in both groups), race (Caucasian 80% vs 86%), presence of diabetes (40% vs 37%), CCI score (5.4 in both groups), initial albumin (3.6 vs 3.5 g/dL), and D/PCr (0.65 in both groups). Kaplan–Meier survival analysis showed similar 2-year patient survival between large BMI (> 27) and control (20 – 27) groups (76.6% vs 76.1%). Two-year technique survival was also similar between the two groups (59.7% vs 66.8%). With Cox proportional hazards analysis, BMI was not a predictor of patient mortality or technique survival when controlling for initial albumin, D/PCr, and initial Kt/V. ♦ Conclusions We conclude that a BMI above normal is not associated with any increased or decreased risk of death in patients on PD for 2 years.

scholarly journals Body mass index, sitting time, and risk of Parkinson disease

Neurology ◽  
2018 ◽  
Vol 90 (16) ◽  
pp. e1413-e1417 ◽  
Author(s):  
Elin Roos ◽  
Alessandra Grotta ◽  
Fei Yang ◽  
Rino Bellocco ◽  
Weimin Ye ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Parkinson Disease ◽  
Body Mass ◽  
Proportional Hazards ◽  
Cox Proportional Hazards ◽  
Sitting Time ◽  
Anthropometric Measures ◽  
Hazard Ratios ◽  
Incident Cases

ObjectiveCauses of Parkinson disease are largely unknown, but recent evidence suggests associations with physical activity and anthropometric measures.MethodsWe prospectively analyzed a cohort of 41,638 Swedish men and women by detailed assessment of lifestyle factors at baseline in 1997. Complete follow-up until 2010 was achieved through linkage to population-based registers. We used multivariable Cox proportional hazards models to estimate hazard ratios with 95% confidence intervals (CIs).ResultsWe identified 286 incident cases of Parkinson disease during follow-up. Multivariable adjusted hazard ratios were 1.06 (95% CI 0.76–1.47) for sitting time ≥6 vs <6 hours per day; and 1.13 (95% CI 0.60–2.12) for body mass index ≥30 vs <25 kg/m2. Results did not differ by sex.ConclusionsNo association between prolonged sitting time per day or obesity and risk of Parkinson disease was found.

scholarly journals The relationship between body mass index and incident diabetes mellitus in Chinese aged population: a cohort study

2021 ◽  
Author(s):  
Molian Tang ◽  
Yiquan Zhou ◽  
Anqi Song ◽  
Jialu Wang ◽  
Yanping Wan ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Body Mass Index ◽  
Cohort Study ◽  
Body Mass ◽  
Proportional Hazards ◽  
Fasting Blood Glucose ◽  
Cox Proportional Hazards ◽  
Incident Diabetes ◽  
Chinese Elderly ◽  
Aged Population

Abstract ObjectivesPrevious studies reported that overweight older adults had a lower mortality after cardiovascular diseases attack, indicating being thinner might not always be better. However, there is ongoing debate about what is the optimal range of body mass index (BMI) for the aged population. We aimed to evaluate the value of BMI for the prediction of incident diabetes mellitus (DM) in Chinese elderly population.MethodsA total number of 6,911 Chinese elderly people (4,110 men and 2,801 women, aged 71±6.0 years) were included in this cohort study. BMI was measured at baseline (Jan 1st 2014 to Dec 31st 2014). All the participants were further classified into six groups: < 18.5kg/m2, 18.5 to < 22.5 kg/m2, 22.5 to < 25.0 kg/m2, 25.0 to < 27.5 kg/m2, 27.5 to < 30.0 kg/m2, and ≥ 30.0 kg/m2. Fasting blood glucose (FBG) and glycated hemoglobin A1c (HbA1c) were annually measured during follow-up (Jan 1st 2015-May 31st 2019). DM was confirmed if either FBG ≥ 7.0 mmol/L or HbA1c ≥ 6.5%. We used the Cox proportional hazards regression model to evaluate the association between BMI and the prediction of incident DM. ResultsComparing individuals with a BMI range of 18.5 to < 22.5 kg/m2 (reference), the hazards ratio for incident DM was 2.13 (95% CI: 1.54~2.95), 2.14 (95% CI: 1.53~3.00), 3.17 (95% CI: 2.19~4.59), 3.15 (95% CI: 1.94~5.09), and 3.14 (95% CI: 1.94~5.09) for the group with a BMI range of 22.5 to < 25.0 kg/m2, 25.0 to < 27.5 kg/m2, 27.5 to < 30.0 kg/m2, and ≥ 30.0 kg/m2 after adjusting for baseline age, sex, blood pressure, lipid profiles, and eGFR (P trend <0.001), after adjusting for the above-mentioned confounders. The association tended to be closer in men and young participants, compared with their counterparts.ConclusionsHigh BMI was associated with high risk of developing DM in Chinese aged population. Thus, it is optimal for the aged population to maintain their body weight within a reasonable range to prevent chronic diseases.

Body mass index impact on acute myeloid leukemia (AML) outcomes.

2013 ◽  
Vol 31 (15_suppl) ◽  
pp. 7094-7094
Author(s):  
Ahmed Elkhanany ◽  
Niamh Keane ◽  
Sharukh Hashmi ◽  
Kebede Begna ◽  
Rajiv Pruthi ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Proportional Hazards ◽  
Univariate Analysis ◽  
Cox Proportional Hazards ◽  
White Blood Count ◽  
Glucose Levels ◽  
Kaplan Meier ◽  
Blast Count ◽  
Pediatric Aml

7094 Background: Obesity is associated with comorbidities that could cause negative outcome upon delivering intensive care. In pediatric AML patients (pts), obesity was associated with more toxicity and worse prognosis. Here, we study Body-Mass Index (BMI) impact on clinical outcome of adult AML pts. Methods: A total of 180 adult pts with AML between 2003-2011 were enrolled. Retrospective data included demographics, labs, cytogenetics and outcome. LeukemiaNET Standardization (LNS), complete remission (CR), overall survival (OS) and relapse free survival (RFS) were obtained (Dohner E, Blood 2010). BMI of 25-30 was defined as overweight, while >30 as obesity. Fischer’s and Wilcoxon tests were used for comparatives between groups, cox proportional hazards and logistic regression for associations for OS/RFS and CR, Kaplan-Meier test for OS and RFS estimates via JMP software V9.0. IRB approval was obtained according to Helsinki declaration. Results: The median age was 63 years, with 115 (64%) were men. Of 159 pts, karyotype was favorable, Intermediate I, II and adverse in 21 (13%), 76 (48%), 23 (%14) and 39 (25%) pts respectively. Median BMI was 28.2 (range 16.8-47.8). 48 (26%) had normal BMI, 62 (34%) were overweight, and 70 (38%) were obese. At diagnosis, BMI classes were not associated with age, sex, glucose, white blood count (WBC), platelets, blasts, ECOG status, LNS, FLT3/NPM1 status; nor treatment toxicities, CR rates, or relapse after CR. BMI classes were associated with presence of concomitant comorbidities (p=0.047) and glucose levels (p=0.044). In univariate analysis, overweight (OR=1.8, p=0.16) and obesity (OR=1.9, p=0.13) did not affect CR rates. On adjusting for age, sex, LNS, WBC and blast count at diagnosis, only overweight pts had a significant higher CR (76% vs 63%) rates (OR=2.99, p=0.043). OS and RFS were not associated with BMI in univariate (p=0.51) and multivariate (p=0.32) models. Median OS and RFS were not different across BMI subgroups (p=0.52 and 0.59). Conclusions: BMI subgroups showed no correlation with treatment toxicity, LNS, relapse rates, OS or RFS. This should encourage giving therapy to pts regardless of their BMI status. Overweight was associated with better CR rates despite increased concomitant morbidities.

scholarly journals Association of Abdominal Adiposity with Cardiovascular Mortality in Incident Hemodialysis

2018 ◽  
Vol 48 (6) ◽  
pp. 406-414 ◽  
Author(s):  
Jessica Fitzpatrick ◽  
Stephen M. Sozio ◽  
Bernard G. Jaar ◽  
Mara A. McAdams-DeMarco ◽  
Michelle M. Estrella ◽  
...  
Keyword(s):  
Risk Factors ◽  
Body Mass Index ◽  
Body Mass ◽  
Cardiovascular Mortality ◽  
Proportional Hazards ◽  
Cox Proportional Hazards ◽  
Abdominal Adiposity ◽  
Cvd Risk Factors ◽  
Cvd Risk ◽  
Cvd Mortality

Background: The risk of cardiovascular mortality is high among adults with end-stage renal disease (ESRD) undergoing hemodialysis. Waist-to-hip ratio (WHR), a metric of abdominal adiposity, is a predictor of cardiovascular disease (CVD) and mortality in the general population; however, no studies have examined the association with CVD mortality, particularly sudden cardiac death (SCD), in incident hemodialysis. Methods: Among 379 participants incident (< 6 months) to hemodialysis enrolled in the Predictors of Arrhythmic and Cardiovascular Risk in ESRD study, we evaluated associations between WHR and risk of CVD mortality, SCD, and non-CVD mortality in Cox proportional hazards regression models. Results: At study enrollment, mean age was 55 years with 41% females, 73% African Americans, and 57% diabetics. Mean body mass index was 29.3 kg/m2, and mean WHR was 0.95. During a median follow-up time of 2.5 years, there were 35 CVD deaths, 15 SCDs, and 48 non-CVD deaths. Every 0.1 increase in WHR was associated with higher risk (hazard ratio [95% CI]) of CVD mortality (1.75 [1.06–2.86]) and SCD (2.45 [1.20–5.02]), but not non-CVD mortality (0.93 [0.59–1.45]), independently of demographics, body mass index, comorbidities, inflammation, and traditional CVD risk factors. Conclusions: WHR is significantly associated with CVD mortality including SCD, independently of other CVD risk factors in incident hemodialysis. This simple, easily obtained bedside metric may be useful in dialysis patients for CVD risk stratification.

Combined effect of fasting glucose and body mass index on mortality by age and sex in over 15 million adults: a cohort study

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
M Jung ◽  
S.W Yi ◽  
S.J An ◽  
S.H Ihm
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Proportional Hazards ◽  
Fasting Glucose ◽  
Fasting Blood Glucose ◽  
Cox Proportional Hazards ◽  
Younger Adults ◽  
Cox Proportional Hazards Models ◽  
Hazard Ratios

Abstract Background We aimed to elucidate whether synergic combined association of body mass index (BMI) and fasting blood glucose (FBG) on mortality exist and to identify FBS-BMI subgroups with higher mortality according to sex and age. Methods A total of 15,149,275 Korean adults participated in health examinations during 2003–2006 and were followed up until December 2018. Hazard ratios (HRs) of 40 BMI-FBG combined groups for mortality were assessed by Cox proportional hazards models. Results During mean 13.7 years of follow-up, 1,213,401 individuals died. The association between hyperglycemia and mortality was stronger in leaner than more obese individuals and these effects were more prominent in younger than older adults. Compared with overweight (BMI 25–27.4kg/m2) normoglycemic (FBG 80–94mg/dL), age, sex-adjusted HRs of leanest (BMI &lt;20kg/m2) normoglycemic, overweight diabetes (FBG ≥180mg/dL), and leanest diabetes were 1.66, 2.17, and 4.77, respectively. Corresponding HRs in those aged 18–44 years were 1.29, 2.59, and 11.18, respectively, while corresponding HRs in those aged 75–99 years were 1.56, 1.72, and 2.87, respectively (Figure 1). The interpretation of BMI-FBG subgroups associated with higher mortality was not straightforward. For example, prediabetes (FBG 110–125 mg/dL) with BMI 20–22.4 kg/m2 had similar or higher mortality than low diabetes (FBG 126–179 mg/dL) with BMI ≥22.5 kg/m2. In non-diabetic women aged &lt;45 years, BMI ≥27.5 kg/m2 was associated with the highest mortality, whereas the leanest had the worst mortality in each given FBG level in other age-sex groups. Conclusions Leanness and hyperglycemia interact together to increase mortality supra-multiplicatively, especially in younger adults, while complex interaction of BMI, FBG, sex and age on mortality exist. Figure 1 Funding Acknowledgement Type of funding source: None

Abstract 11778: Association of Body Mass Index With Corrected QT interval and the Impact of This Association on All-cause Mortality: Results From the National Health and Nutrition Examination Survey (NHANES)

Circulation ◽  
2015 ◽  
Vol 132 (suppl_3) ◽  
Author(s):  
Salman Waheed ◽  
Buddhadeb Dawn ◽  
Kamal Gupta
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Qt Interval ◽  
Proportional Hazards ◽  
Cox Proportional Hazards ◽  
Corrected Qt Interval ◽  
Cox Proportional Hazards Models ◽  
Risk Of Mortality ◽  
Prevalence Of Obesity ◽  
The Impact

Introduction: Given the high prevalence of obesity, the association of body mass index (BMI) with corrected QT interval (QTc) warrants investigation. Although both BMI and QTc are independently associated with mortality, the influence of BMI on QTc and the specific impact of this association on mortality remain unknown. Methods: We analyzed data from 4,579 participants aged 40-65 years from NHANES III for a median of 13.8 years. We divided the weighted sample into 4 categories by BMI as 18.5-25 (reference), >25-30, >30-35 and >35 and 2 categories by Bazette heart rate-corrected QT as normal (<450 ms in males, <460 ms in females) or prolonged. Cox proportional hazards models were used with adjustment for demographic characteristics and traditional cardiovascular risk factors. Results: BMI was significantly associated with QTc with a significantly higher QTc among those with higher BMI (Mean QTc: 428, 429, 433 and 439 ms respectively for BMI 18.5-25, >25-30, >30-35 and >35, P for trend: <0.001). Overall, both prolonged QTc or BMI>35 were independently associated with increased mortality compared with those with normal QTc or BMI 18.5-25. When combined, the risk of mortality was higher among those with both prolonged QTc and higher BMI [Hazard ratio (95% CI): 1.92 (1.03-3.56), 1.75 (0.83-3.68) and 2.29 (1.12-4.69)] for categories of prolonged QTc and BMI 25-30, 30-35 and >35, respectively compared with those with BMI 18.5-25 and normal QTc. There was a significant improvement in risk prediction for mortality when QTc was added to the fully adjusted model with BMI (net reclassification index 0.167, P=0.0001). Conclusions: Those with higher BMI have a significantly longer QTc. This longer QTc among those with higher BMI translates into a higher risk of mortality. These novel observations suggest that individuals with higher BMI should be screened for the presence of prolonged QTc, especially when treated with medications that may prolong QTc.

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